2025

1.Yang, K., Sun, J., Lu, H., McColl, K. A., Jiang, Y., & He, Q. (2025). Enhanced surface water-energy coupling on the Tibetan Plateau over the past six decades (1960-2020). Fundamental Research, in press.

2.An, Q., Liu, L., Wang, L., Yang, K., Cheng, Y., Liu, J., & Huang, G. (2025). Contribution of moisture recycling to water availability in China. Water Resources Research, 61(4), e2024WR038054.

3.He, J. M., Hong, L., Lu, N., Shao, C. K., Yang, K., & Tang, W. J. (2025). Development of a high-resolution dataset of future monthly surface solar radiation by combining CMIP6 projections and satellite-based retrievals. Advances in Climate Change Research, 16(2), 298-311.

4.He, Y., Wang, K., Yang, K., Zhou, C., Shao, C., & Yin, C. (2025). Homogenized daily sunshine duration over China from 1961 to 2022. Earth System Science Data, 17(4), 1595-1611.

5.Huang, C., Zhao, L., Chen, Y., Chen, J., & Yang, K. (2025). A first evaluation of satellite soil moisture products over the Central-Western Tibetan Plateau using rain gauge observations. Journal of Hydrology, 651, 132617.

6.Jiang, R., Lu, H., Yang, K., Cho, H., & Yamazaki, D. (2025). Analysis and comparison of the flood simulations with the routing model CaMa-Flood at different spatial resolutions in the CONUS. Environmental Modelling & Software, 185, 106305.

7.Jiang, Y., Tang, W., Yang, K., He, J., Shao, C., Zhou, X., Lu, H., Chen, Y., Li, X., & Shi, J. (2025). Development of a high-resolution near-surface meteorological forcing dataset for the Third Pole region. Science China-Earth Sciences, 68(4), 1274-1290.

8.Li, J., Lu, C., Chen, J., Zhou, X., Yang, K., Li, J., Wu, X., Xu, X., Wu, S., Hu, R., He, X., Zhou, Z., Zhu, L., & Luo, S. (2024). The influence of complex terrain on cloud and precipitation on the foot and slope of the southeastern Tibetan Plateau. Climate Dynamics, 62(5), 3143-3163.

9.Pan, X., Chen, D., Pan, B., Huang, X., Yang, K., Piao, S., Zhou, T., Dai, Y., Chen, F., & Li, X. (2025). Evolution and prospects of Earth system models: Challenges and opportunities. Earth-Science Reviews, 260, 104986.

10.Ren, Y., Wang, H., Harrison, S. P., Prentice, I. C., Mengoli, G., Zhao, L., Reich, P. B., & Yang, K. (2025). Incorporating the acclimation of photosynthesis and leaf respiration in the Noah-MP Land Surface Model: Model development and evaluation. Journal of Advances in Modeling Earth Systems, 17(3), e2024MS004599.

11.Xing, Z., Zhao, L., Fan, L., et al. (2025). Retrieval of 1 km surface soil moisture from Sentinel-1 over bare soil and grassland on the Qinghai-Tibetan Plateau. Remote Sensing of Environment, 318, 114563.

12.Xu, Y., He, Q., Lu, H., Yang, K., Entekhabi, D., & Gianotti, D. J. S. (2025). A global dataset of remote sensing-based soil critical point and permanent wilting point. Scientific Data, 12(1), 722.

13.Zhang, X., Yang, K., Shao, C., & Chen, H. (2025). A novel parameterization scheme for accurate and efficient radiation transfer modeling in large-scale PV power plants. Applied Energy, 384, 125423.

14.Zhou, J., Dong, J., Feng, H., Yang, K., Crow, W. T., Wu, Z., Tian, X., Tian, J., Ma, X., & Jiang, Y. (2025). Can typical land surface model parameterizations support the expected soil moisture assimilation efficiency? Water Resources Research, 61(4), e2024WR038702.

15.Zhou, J., Tang, Q., Yang, K., Jiang, R., Pan, W., Ren, Y., Qin, J., Chen, D., Lu, H. (2025). Improved hydropower simulation for China based on a newly developed hydropower database. Journal of Hydrology, 657, 133022.

16.Zhou, J., Yang, K., Dong, J., Crow, W. T., Lu, H., Zhao, L., Feng, H., Tian, J., Ma, X., Tian, X., & Jiang, Y. (2025). Mapping global soil moisture and evapotranspiration coupling strength based on a two-system method and multiple data sources. Water Resources Research, 61(2), e2023WR036847.

2024

17.He, Q., Lu, H., Yang, K., Oki, T., Zhou, J., Zhao, L., Yao, P., He, J., Wang, A., & Xu, Y. (2024). Global optimization of soil texture maps from satellite-observed soil moisture drydowns and its implementation in Noah-MP land surface model. Journal of Advances in Modeling Earth Systems, 16(6), e2023MS004142.

18.He, Q., Lu, H., Yang, K., Zhao, L., & Zou, M. (2024). Benefit of incorporating GLASS remote sensing vegetation products in improving Noah-MP land surface temperature simulations on the Tibetan Plateau. Science of Remote Sensing, 9, 100115.

19.Jiang, H., Yi, Y., Yang, K., Zhao, L., Chen, D., Kimball, J. S., & Lu, F. (2024). Soil freeze/thaw dynamics strongly influences runoff regime in a Tibetan permafrost watershed: Insights from a process-based model. Catena, 243, 108182.

20.Kong, H., Lin, J., Zhang, Y., Li, C., Xu, C., Shen, L., Liu, X., Yang, K., Su, H., Xu, W., & Tan, W. (2024). Reply to: NO2 satellite retrievals biased by absorption in water. Nature Geoscience, 17(10).

21.Lei, Y., Zhou, J., Yao, T., Bird, B. W., Yu, Y., Wang, S., Yang, K., Zhang, Y., Zhai, J., & Dai, Y. (2024). Overflow of Siling Co on the central Tibetan Plateau and its environmental impacts. Science Bulletin, 69(18), 2829-2832.

22.Li, J., Lu, C., Chen, J., Zhou, X., Yang, K., Li, J., ... & Luo, S. (2024). The influence of complex terrain on cloud and precipitation on the foot and slope of the southeastern Tibetan Plateau. Climate Dynamics, 62(5), 3143-3163.

23.Li, X., Liu, F., Ma, C., Hou, J., Zheng, D., Ma, H., Bai, Y., Han, X., Vereecken, H., Yang, K., Duan, Q., & Huang, C. (2024). Land data assimilation: Harmonizing theory and data in land surface process studies. Reviews of Geophysics, 62(1), e2022RG000801.

24.Liu, J., Yang, K., Zhao, D., Wu, P., Wang, J., Zhou, X., Lin, Y., Lu, H., Jiang, Y., & Shi, J. (2024). Cloud radiative feedback to the large-scale atmospheric circulation greatly reduces monsoon-season wet bias over the Tibetan Plateau in climate modeling. Geophysical Research Letters, 51(14), e2024GL109180.

25.Liu, J., Yang, K., Wang, J., Zhou, X., Jiang, Y., Shao, C., Lu, H., Yao, X., Sun, J., & Shi, J. (2024). Impacts of a shallow convection scheme on kilometer-scale atmospheric simulations over the Tibetan Plateau. Climate Dynamics, 62(8), 8019-8034.

26.Liu, W., Li, M., Huang, Y., Makowski, D., Su, Y., Bai, Y., Schauberger, B., Du, T., Abbaspour, K. C., Yang, K., Yang, H., & Ciais, P. (2024). Mitigating nitrogen losses with almost no crop yield penalty during extremely wet years. Science Advances, 10(9), eadi9325.

27.Ma, X., Yang, K., Wang, B., Li, Z., Zhu, L., Lu, H., Yao, X., & Chen, X. (2024). Strong skin cooling and its impacts on lake thermal processes in a large lake on the Tibetan Plateau. Journal of Hydrometeorology, 25(6), 937-946.

28.Miao, C., Immerzeel, W. W., Xu, B., Yang, K., Duan, Q., & Li, X. (2024). Understanding the Asian water tower requires a redesigned precipitation observation strategy. Proceedings of the National Academy of Sciences of the United States of America, 121(23), e2403557121.

29.Peng, Z., Zhao, T., Shi, J., et al. (2024). First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry. Remote Sensing of Environment, 302, 113970.

30.Ren, Y., Wang, H., Yang, K., Li, W., Hu, Z., Ma, Y., & Qiao, S. (2024). Vegetation productivity slowdown on the Tibetan Plateau around the late 1990s. Geophysical Research Letters, 51(4), e2023GL103865.

31.Shao, C., Yang, K., Tang, W., He, Y., Jiang, Y., Lu, H., Fu, H., & Zheng, J. (2024). Data augmentation-based estimation of solar radiation components without referring to local ground truth in China. Journal of Remote Sensing, 4, 0111.

32.Shi, P., Leung, L. R., Lu, H., Wang, B., Yang, K., & Chen, H. (2024). Uncovering the interannual predictability of the 2003 European summer heatwave linked to the Tibetan Plateau. npj Climate and Atmospheric Science, 7(1), 242.

33.Tang, J., Xue, Y., Diallo, I., et al. (2024). Regional climate model intercomparison over the Tibetan Plateau in the GEWEX/LS4P Phase I. Climate Dynamics, 62(4), 2837-2858.

34.Wang, G., Fu, R., Zhuang, Y., Dirmeyer, P. A., Santanello, J. A., Wang, G., Yang, K., & McColl, K. (2024). Influence of lower-tropospheric moisture on local soil moisture-precipitation feedback over the US Southern Great Plains. Atmospheric Chemistry and Physics, 24(6), 3857-3868.

35.Wang, J., Yang, K., Yuan, L., Liu, J., Peng, Z., Ren, Z., & Zhou, X. (2024). Deducing aerodynamic roughness length from abundant anemometer tower data to inform wind resource modeling. Geophysical Research Letters, 51(21), e2024GL111056.

36.Wang, L., Jia, B., Yuan, X., Xie, Z., Yang, K., & Shi, J. (2024). The slowdown of increasing groundwater storage in response to climate warming in the Tibetan Plateau. npj Climate and Atmospheric Science, 7(1), 286.

37.Xu, F., Zhang, G., Woolway, R. I., Yang, K., Wada, Y., Wang, J., & Cretaux, J.-F. (2024). Widespread societal and ecological impacts from projected Tibetan Plateau lake expansion. Nature Geoscience, 17(6).

38.Zhou, X., Wang, B., Ma, X., La, Z., & Yang, K. (2024). Simulating lake ice phenology using a coupled atmosphere-lake model at Nam Co, a typical deep alpine lake on the Tibetan Plateau. Cryosphere, 18(10), 4589-4605.

2023

39.Ferreira, V., Yong, B., Montecino, H., Ndehedehe, C. E., Seitz, K., Kutterer, H., & Yang, K. (2023). Estimating GRACE terrestrial water storage anomaly using an improved point mass solution. Scientific Data, 10(1), 234.

40.He, Q., Lu, H., & Yang, K. (2023). Soil moisture memory of land surface models utilized in major reanalyses differ significantly from SMAP observation. Earth's Future, 11(4), e2022EF003215.

41.He, Y., Yang, K., Ren, Y., Zou, M., Yuan, X., & Tang, W. (2023). Causes of the extremely low solar radiation in the 2021 growing season over southeastern Tibetan Plateau and its impact on vegetation growth. Bulletin of the American Meteorological Society, 104(2), E359-E366.

42.He, Y., Yang, K., Wild, M., Wang, K., Tong, D., Shao, C., & Zhou, T. (2023). Constrained future brightening of solar radiation and its implication for China's solar power. National Science Review, 10(1).

43.Hu, L., Zhao, T., Ju, W., Peng, Z., Shi, J., Rodriguez-Fernandez, J., Wigneron, J.-P., Cosh, M. H., Yang, K., Lu, H., & Yao, P. (2023). A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm. Remote Sensing of Environment, 292, 113595.

44.Huang, J., Zhou, X., Wu, G., Xu, X., Zhao, Q., Liu, Y., Duan, A., Xie, Y., Ma, Y., Zhao, P., Yang, S., Yang, K., Yang, H., Bian, J., Fu, Y., Ge, J., Liu, Y., Wu, Q., Yu, H., Wang, B., Bao, Q., Qie, K., & Dozier, J. (2023). Global climate impacts of land-surface and atmospheric processes over the Tibetan Plateau. Reviews of Geophysics, 61(3), e2022RG000771.

45.Huang, L., Wang, X., Yan, Y., Jin, L., Yang, K., Chen, A., Zheng, R., Ottle, C., Wang, C., Cui, Y., & Piao, S. (2023). Attribution of lake surface water temperature change in large lakes across China over past four decades. Journal of Geophysical Research-Atmospheres, 128(21), e2022JD038465.

46.Huang, L., Chen, J., Yang, K., Yang, Y., Huang, W., Zhang, X., & Chen, F. (2023). The northern boundary of the Asian summer monsoon and division of westerlies and monsoon regimes over the Tibetan Plateau in present-day. Science China-Earth Sciences, 66(4), 882-893.

47.Ji, P., Yuan, X., Shi, C., Jiang, L., Wang, G., & Yang, K. (2023). A long-term simulation of land surface conditions at high resolution over continental China. Journal of Hydrometeorology, 24(2), 285-314.

48.Jiang, R., Lu, H., Yang, K., Chen, D., Zhou, J., Yamazaki, D., Pan, M., Li, W., Xu, N., Yang, Y., Guan, D., & Tian, F. (2023). Substantial increase in future fluvial flood risk projected in China's major urban agglomerations. Communications Earth & Environment, 4(1), 389.

49.Jiang, Y., Yang, K., Qi, Y., Zhou, X., He, J., Lu, H., ... & Zhou, J. (2023). TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (1/30∘, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations. Earth System Science Data, 15(2), 621-638.

50.Kong, H., Lin, J., Zhang, Y., Li, C., Xu, C., Shen, L., Liu, X., Yang, K., Su, H., Xu, W., & Tan, W. (2023). High natural nitric oxide emissions from lakes on Tibetan Plateau under rapid warming. Nature Geoscience, 16(6), 474-480.

51.Lei, Y., Yao, T., Sheng, Y., Yang, K., Yang, W., Li, S., Zhou, J., Jiang, Y., & Yu, Y. (2023). Unprecedented lake expansion in 2017-2018 on the Tibetan Plateau: Processes and environmental impacts. Journal of Hydrology, 619, 129333.

52.Letu, H., Nakajima, T. Y., Wang, T., Shang, H., Ma, R., Yang, K., ... & Shi, J. (2023). Deriving a new standard: An all-sky surface radiation dataset from Himawari-8 for the East Asia–Pacific Region. Bulletin of the American Meteorological Society, 104(5), 331-334.

53.Li, X., Wang, L., Chen, D., Thompson, L., Yang, K., Zhong, S., Liu, L., Xu, Z., & Song, L. (2023). Large-scale circulation dominated precipitation variation and its effect on potential water availability across the Tibetan Plateau. Environmental Research Letters, 18(7), 074018.

54.Li, Y., Xu, R., Yang, K., Liu, Y., Wang, S., Zhou, S., Yang, Z., Feng, X., He, C., Xu, Z., & Zhao, W. (2023). Contribution of Tibetan Plateau ecosystems to local and remote precipitation through moisture recycling. Global Change Biology, 29(3), 702-718.

55.Liu, X., Lu, H., Yang, K., Xu, Z., & Wang, J. (2023). Responses of runoff processes to vegetation dynamics during 1981–2010 in the Yarlung Zangbo River basin. Journal of Hydrology: Regional Studies, 50, 101553.

56.Ma, X., Tian, L., Jiang, Y., Liang, J., Tian, J., Zhou, J., Shao, C., & Yang, K. (2023). Large uncertainties in precipitation exert considerable impact on land surface temperature modeling over the Tibetan Plateau. Journal of Geophysical Research-Atmospheres, 128(9), e2022JD037615.

57.Qin, J., He, M., Yang, W., Lu, N., Yao, L., Jiang, H., Wu, J., Yang, K., & Zhou, C. (2023). Temporally extended satellite-derived surface air temperatures reveal a complete warming picture on the Tibetan Plateau. Remote Sensing of Environment, 285, 113410.

2023年，科睿唯安 “全球高被引科学家”

2022年，爱思唯尔“中国高被引学者”

2022年，科睿唯安 “全球高被引科学家”

2021年，爱思唯尔“中国高被引学者”

2021年，科睿唯安 “全球高被引科学家”

2020年，清华大学第十七届“良师益友”

2020年，爱思唯尔“中国高被引学者”

2013年，“国家杰出科学青年基金”获得者

1. Yang Kun*: Observed regional climate change in Tibet over the last decades. In book “Regional climate and climate change in the region of Tibet” (ed. by Chen Deliang, Yao Tandong), Distributed by Oxford University Press, 1-58, United Kingdom, 2017

2. Chen Yingying; Yang Kun: Land Surface Process Study and Modeling in Drylands and High-Elevation Regions. In book “Land Surface Observation, Modeling and Data Assimilation” (ed. by Liang Shunlin, Li Xin, Xie Xianhong), 89–124, World Scientific Publishing Co. Pte. Ltd., 2013

3. Yang Kun*; Koike Toshio; Huang Guangwei; Tamai Nobuyuki: Development and Validation of an Advanced Model for Estimating Solar Radiation from Surface Meteorological Data. Recent developments in Solar Energy Research, Hough T. P., Nova Science Publishers, 1-53, United States New York, 2006